National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer Coach

FIND | Creating Futures
Sheffield
3 days ago
Create job alert

Are you an experienced Data Engineer with a passion for coaching and mentoring others?


Join our client’s growing team as aData Engineering Coach, where you'll coach, guide & mentor junior/apprentice Data Engineer’s throughout their apprenticeship journey - from day one to completion.


This is a highly flexible, remote-working role, ideal for Data Engineering professionals seeking meaningful work, and one that could still fit around other commitments.


Key Responsibilities:

  • Deliver 1:1 and small group coaching sessions to support Data Engineer apprentices across a variety of industries
  • Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control
  • Offer pastoral support, helping learners stay on track and fully motivated throughout their programme
  • Support learners in building confidence and developing practical, job-ready data engineering skills
  • Collaborate with employers to ensure learner progress and success in real-world projects
  • Adapt coaching styles to meet diverse learner needs and learning styles
  • Track learner development and provide constructive, actionable feedback


What We’re Looking For:

  • Industry Experience:At least 1+ years of hands-on experience working in Data Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.)
  • Technical Exposure:Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies
  • Formal or Informal Coaching Experience:Any previous coaching, mentoring, or training experience — formal or informal (no need to have worked as a Coach / Trainer / Lecturer etc.)
  • Passion for People:Enthusiastic about supporting others to learn, grow, and succeed
  • Excellent Communication:Able to explain technical data engineering concepts clearly and effectively
  • Organised and Self-Motivated:Comfortable managing your own schedule and learner caseload


What’s on Offer

  • Remote working with flexibility — choose full-time or part-time hours
  • Rewarding, purpose-driven work making a real impact on learners’ careers
  • Full training & up-skilling on how to become an effective Coach
  • CPD around all further areas of Data Engineering, Analytics, and wider tech fields
  • A quality-focused environment that ALWAYS puts learner needs & education first


Salary will be £45,000, and you can decide what days/hours you work (within reason!)


For more info, please get in touch:

Related Jobs

View all jobs

Data Engineer Coach

Data Engineer Coach

Principal Data Engineer

Senior Data Engineer

Data Engineer

Lead Data Engineer, Home Based

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.